Research Projects in the Department of Archaeology

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iMapNut: Machine Learning to Map and Address Causal Factors of Child Malnutrition in Low- and- Middle- Income Countries

This project aims to improve the poor integration of localized data linking various WASH dimensions (infrastructure, access, practices) and children nutritional status at the population level as well as the poor involvement of policy makers concerned with WASH in local and country level nutritional programs. Our network aims include:

Research Projects in the Department of Archaeology

iMapNut: Machine Learning to Map and Address Causal Factors of Child Malnutrition in Low- and- Middle- Income Countries

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